Github user andrewor14 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/126#discussion_r10578300
  
    --- Diff: 
core/src/main/scala/org/apache/spark/scheduler/ShuffleMapTask.scala ---
    @@ -17,28 +17,24 @@
     
     package org.apache.spark.scheduler
     
    +import scala.collection.mutable.HashMap
    +
     import java.io._
     import java.util.zip.{GZIPInputStream, GZIPOutputStream}
     
    -import scala.collection.mutable.HashMap
    -
     import org.apache.spark._
     import org.apache.spark.executor.ShuffleWriteMetrics
    -import org.apache.spark.rdd.RDD
    -import org.apache.spark.rdd.RDDCheckpointData
    +import org.apache.spark.rdd.{RDD, RDDCheckpointData}
     import org.apache.spark.storage._
    -import org.apache.spark.util.{MetadataCleaner, MetadataCleanerType, 
TimeStampedHashMap}
    +import org.apache.spark.util.BoundedHashMap
     
     private[spark] object ShuffleMapTask {
     
       // A simple map between the stage id to the serialized byte array of a 
task.
       // Served as a cache for task serialization because serialization can be
       // expensive on the master node if it needs to launch thousands of tasks.
    -  val serializedInfoCache = new TimeStampedHashMap[Int, Array[Byte]]
    -
    -  // TODO: This object shouldn't have global variables
    -  val metadataCleaner = new MetadataCleaner(
    -    MetadataCleanerType.SHUFFLE_MAP_TASK, 
serializedInfoCache.clearOldValues, new SparkConf)
    +  val MAX_CACHE_SIZE = 100
    +  val serializedInfoCache = new BoundedHashMap[Int, 
Array[Byte]](MAX_CACHE_SIZE, true)
    --- End diff --
    
    @pwendell Wait, actually isn't that right? Correct me if I'm wrong, but 
once a ShuffleDependency or an RDD goes out of scope, then all associated 
stages can be safely removed, since to run tasks in the Stage you need this 
information. This suggests if we keep track of a list of stage IDs in both 
ShuffleDependency and RDD, then we can clean up this map (and the one in 
ResultTask) explicitly.
    
    @tdas, looks like this map only concerns the master, so I don't think we 
need to notify the workers of stage completion.


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